Evidence map›Paper›PMID 30775707›Full record

ArticleEuropean oral research2018

Effect of dentin pretreatment on shear bond strength of three resin-based luting cements.

Nihal Berke Bulut, Gülümser Evlioğlu, Bilge Gökçen Röhlig, Tamer Çelakıl

Abstract read
In one paragraph

Article in European oral research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Comparative Evaluation of Microtensile Bond Strength in Three Different Dentin Luting Agents: AnJournal of International Society of Preventive & Community Dentistry
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nihal Berke BulutDepartment of Prosthodontics, İstanbul University Faculty of Dentistry, İstanbul, Turkey.ORCID https://orcid.org/0000-0003-3940-139X
Gülümser EvlioğluDepartment of Prosthodontics, İstanbul University Faculty of Dentistry, İstanbul, Turkey.ORCID https://orcid.org/0000-0003-4688-8204
Bilge Gökçen RöhligDepartment of Prosthodontics, İstanbul University Faculty of Dentistry, İstanbul, Turkey.ORCID https://orcid.org/0000-0003-3143-9668
Tamer ÇelakılDepartment of Prosthodontics, İstanbul University Faculty of Dentistry, İstanbul, Turkey.ORCID https://orcid.org/0000-0002-8085-6356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aims of this study were; to compare the shear bond strength values of resin-based luting cements using etch-and-rinse, self-etching or self-adhesive techniques and to evaluate the effects of pretreatment with 0.2%, and 2% chlorhexidine (CHX) solutions on the bonding stability to dentin. MATERIALS AND

methodsNinety specimens were divided into 9 groups of equal sample size (0.2% CHX, 2% CHX and no CHX application groups). Variolink N (multi-step etch-and-rinse technique), Panavia F2.0 (self-etching technique), or RelyX U200 (self-adhesive technique) resin-based luting cement was applied. All specimens were subjected to shear bond strength test (SBS) after bonding procedure. The mode of failure was analyzed by using a stereomicroscope.

resultsThere were no significant differences among study groups for the dentin treatment factor. However, for luting cement factor, significant differences were found and Variolink N showed the highest SBS values.

conclusionCHX application has no immediate effect on the SBS values of any resin cements. Despite the development of simplified cementation techniques, etch-and-rinse technique is still the most reliable technique because of its high bond strength to dentin.

Indexed as

chlorhexidinePanavia-F 2.0RelyX U200shear strengthVariolink

Identifiers

PMID30775707
PMCPMC6365123

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.